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Features of genomic organization in a nucleotide-resolution molecular model of the Escherichia coli chromosome

Overview of attention for article published in Nucleic Acids Research, June 2017
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

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111 Mendeley
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Article details
Title
Features of genomic organization in a nucleotide-resolution molecular model of the Escherichia coli chromosome
Published in
Nucleic Acids Research, June 2017
DOI 10.1093/nar/gkx541
Pubmed ID
Authors
Abstract

We describe structural models of the Escherichia coli chromosome in which the positions of all 4.6 million nucleotides of each DNA strand are resolved. Models consistent with two basic chromosomal orientations, differing in their positioning of the origin of replication, have been constructed. In both types of model, the chromosome is partitioned into plectoneme-abundant and plectoneme-free regions, with plectoneme lengths and branching patterns matching experimental distributions, and with spatial distributions of highly-transcribed chromosomal regions matching recent experimental measurements of the distribution of RNA polymerases. Physical analysis of the models indicates that the effective persistence length of the DNA and relative contributions of twist and writhe to the chromosome's negative supercoiling are in good correspondence with experimental estimates. The models exhibit characteristics similar to those of 'fractal globules,' and even the most genomically-distant parts of the chromosome can be physically connected, through paths combining linear diffusion and inter-segmental transfer, by an average of only ∼10 000 bp. Finally, macrodomain structures and the spatial distributions of co-expressed genes are analyzed: the latter are shown to depend strongly on the overall orientation of the chromosome. We anticipate that the models will prove useful in exploring other static and dynamic features of the bacterial chromosome.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 191 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 <1%
United Kingdom 1 <1%
Unknown 109 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 37 33%
Researcher 19 17%
Student > Bachelor 10 9%
Student > Master 9 8%
Professor 6 5%
Other 17 15%
Unknown 13 12%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 34 31%
Agricultural and Biological Sciences 28 25%
Physics and Astronomy 9 8%
Engineering 6 5%
Chemistry 5 5%
Other 12 11%
Unknown 17 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 119. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 April 2018.
All research outputs
#449,861
of 34,744,439 outputs
Outputs from Nucleic Acids Research
#66
of 34,039 outputs
Outputs of similar age
#7,237
of 364,440 outputs
Outputs of similar age from Nucleic Acids Research
#2
of 300 outputs
Altmetric has tracked 34,744,439 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 34,039 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 364,440 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 300 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.